Service provided by Quant Geeks

Price of service

Quantitative research is very effective but costly tool for optimizing the activity and increasing the efficiency of investment banks, hedge funds and other financial institutions. In-house development of quantitative research department requires the company to freeze relatively huge amount of financial resources and human capital. Quant Geeks solves these problems mainly in three ways:

  • we are outsourcing company which specializes on quantitative research. Specialization leads to automation of many processes, increases the quality of services and reduces the time necessary for product development. All these things reduce the cost of service.
  • We are located in the Eastern Europe – in the region where it is possible to hire professionals in quantitative finance with significantly lower salary expectations.
  • Our price 2-3 times lower on average compared to in-house quantitative research in developed countries.

Quant Geeks payment scheme is very flexible. We do not take a prepayment for our service. Your pay only for the results done and nothing else.

Front office outsourcing

Quant Geeks consist of professionals in mathematics and computer science. We are eager to generate new bright ideas. We enjoy development of new models. We have already developed many models including pricing of exotic derivatives, interest rate derivatives.

We offer our expertise in the following fields in order to develop the top class models and algorithms for you:

  • Stochastic differential equations (SDE)
  • Partial differential equations (PDE)
  • Numerical methods: solving SDE and PDE
  • Statistics, non-parametric statistics, econometrics
  • Markov chains
  • Dynamic programming
  • Monte Carlo with advanced variance reduction techniques
  • Quasi Monte Carlo: low-discrepancy sequences
  • Brownian motion, fractional brownian motion

Moreover our tight relations with partners in academia give us opportunity to carry out most difficult problems for you and still it would be significantly cheaper than in-house development or other non offshore company.

Middle office outsourcing

The models and algorithms must be throughoutly checked, exactly the way scientific papers must be reviewed before publishing. The job of middle office is to make sure that models developed by front office are adequate, assumptions are realistic, results are reliable. The middle office must be independent of front office otherwise some errors might slip through causing severe loses.

The problem of middle office in many investment companies is that it is too tightly related with front office. Front and middle office share identical skills and experience as they work together. But models require careful glance from the different perspective other then front office perspective.

The outsourcing gives a great opportunity to make really indepedent middle office. Our team has no incentive to hide found model problems and limitation. Quant Geeks has lots of experience and expertise to test models before they can be applied. Outsouring allows to review models by people with completely different experience and background.

Portfolio optimization and diversification

Portfolio Construction

  • Forecasting return
  • Forecasting risk
  • Different strategies analysis for portfolio construction

Monitoring and Rebalancing

  • Transaction cost analysis, market microstructure, and trading research
  • Portfolio optimization
  • Cointegration techniques in portfolio rebalancing
  • Performance attribution

Risk management

The Risk Management applies the latest academic theories to the creative development of risk analytics in bringing greater objectivity to each phase of the investment process.

We provide:

  • manager risk assessments used for manager approvals
  • offer inputs to the manager ranking system
  • assist in determining risk profile rankings to provide an objective benchmark in evaluating and managing risk
  • quantitative risk analysis at the portfolio level:
    • stress testing methodologies
    • optimization methods
    • Monte Carlo simulation and refinement of data to take into account short-term data streams needed for portfolio construction
    • Monitoring and rebalancing. Quant Geeks performs these analyzes to minimize dependence on the value-at-risk (VAR) methods that permeate the risk management industry and tend to fail during crisis periods.

Securitization

Groundbreaking, highly structured securitization solutions that are tailored to the specific business needs of our clients. Our products serve both traditional and esoteric asset classes without compromising structural and credit protection. We support with quantitative research all steps of securitization process:

  • Pooling and transfer
  • Issuance
  • Credit enhancement and tranching
  • Servicing
  • Repayment structures

We also serve with quantitative research special types of securitization:

  • Master trust
  • Issuance trust
  • Grantor trust
  • Owner trust and others

Pricing fixed income, equities and derivatives

Fixed income securities

Default risk
Credit risk
reinvestment risk

Derivaties

Development of pricing algorithms for new derivatives

Result and dead lines

Performance

We have experience in development of pricing algorithm that can price hundreds and even thousands of securities per second utilizing computational power of clusters and GPGPU.

Non-normal fat tailed distribution. Fractional browning motion.
Local stochastic volatility

Algorithmic trading

Quant Geeks team has experience in development of automatic trading systems and pricing algorithms in commodity, bonds, equity and derivative instruments in both developed and emerging markets. We have tried many different methods and proaches

Used Algorithms

In order you to understand better our coverage of quantitative finance. Here is the list of algorithms we had tried

We have many more ideas to implement and we are always ready to implement our ideas. We strictly follow NDA(non disclosure aggrements)
Thf., but always eager to develop new algorithm for our clients and even incorporate your own ideas.

Timeseries forecasting, nonparametric statistics

Multifractal with Markov regime switching.
GARCH, T-GARCH, EGARCH

Neural networks and artificial intelligence

We have experience in artificial intelligence and development of pattern and trends recognition and forecasting algorithms on neural networks with genetic and evolutionary tuning optimization.

Advanced filters development

Kalman filters and Stratonovich non-linear filters, Lorenz attractors

Others

Instrument coverage

Search for optimal hedging positions.

Intertemporal long-run investments problems based dynamic programmming

Realibility efficiency and performance

The team professional programers in Quant Geeks has the series of best practices of reliable application development that allow to archive realiablity of 24/7 and six sigma. We have designed a special architecture for our applications that continue to operate even in case of fatal errors and . Our architecture allows to develop fault tolerant, reliable algotrading systems that capable

We are proud of architecture that we designed for our projects.

Security

Andrey Riabushenko, Quant Geeks CEO, prior to foundation of Quant Geeks had large experience in IT security. One of his first steps as CEO of Quant Geeks was establishment of strict policy rules in algorithm development to ensure security, reliabilty of Quant Geeks applications.

As rule, all algorithms developed at Quant Geeks use stack and heap protectors, fortified source, memory layout randomization to ensure that highest level of security

Itegration

The Quant Geeks is resposible to integrate its solution to the client infrastructure.